Regulation issues in the Italian local transport system: aligning transactions and governance structures

This paper refers to the concept of public governance in the light of Transaction Cost Economics (TCE). While TCE is well developed and widely applied in the private sector, only a few studies have adopted such framework to investigate the provision of public services. We aim at pointing out the coherence between peculiar typologies of transactions and a given set of governance structures, within Local Public Transport systems. The core of the analysis is the alignment between characteristics of transactions and governance structures. The empirical section addresses these issues referring to three case studies, pointing out an articulated organizational configuration in terms of actors involved and governance structures adopted. The analysis shows an alignment between the choices underlying the design of the local transport system and the outcomes expected in terms of TCE.     

Government Debt and Excess Sensitivity of Private Consumption: Estimates from OECD Countries

This article investigates the role of government debt in the degree of excess sensitivity of private consumption to current disposable income. Because this type of excess sensitivity is generally attributed to liquidity constraints, this amounts to a test of the impact of government debt on the amount of credit extended to individuals. Controlling for financial liberalization we find that, for a panel of OECD countries in the 1990s, a high government debt leads to more excess sensitivity. This result supports the idea that a high government debt induces lenders to tighten credit conditions. Our findings survive several robustness checks.     

Human mobility in the context of environmental and climate change: Recent data collection tools from the International Organization for Migration to address key methodological and conceptual issues

This paper outlines recent data collection tools and methodologies that the International Organization for Migration (IOM) has been using in order to gather information on human mobility as influenced by environmental factors and their impacts. It looks at alternative ways for collecting and analysing data in the face of methodological challenges related to the multicausality of movements, the voluntary/involuntary continuum in human (im)mobility decisions in the context of environmental and climate change, and the policy and epistemological imperative from viewing migration as an adaptation strategy. The paper finds that certain data collection approaches can be quickly deployed in rapid-onset disasters as well as applied in contexts of gradual, slow-onset environmental change to provide information useful for operational responses to immediate crises and/or for developing policies in response. Some of the tools can be useful in both contexts and may support both immediate and long-term operational, policy and research objectives.     

Calibration of FISK, an Invasiveness Screening Tool for Nonnative Freshwater Fishes

Adapted from the weed risk assessment (WRA) of Pheloung, Williams, and Halloy, the fish invasiveness scoring kit (FISK) was proposed as a screening tool for freshwater fishes. This article describes improvements to FISK, in particular the incorporation of confidence (certainty/uncertainty) ranking of the assessors' responses, and reports on the calibration of the score system, specifically: determination of most appropriate score thresholds for classifying nonnative species into low-, medium-, and high-risk categories, assessment of the patterns of assessors' confidences in their responses in the FISK assessments. Using receiver operating characteristic (ROC) curves, FISK was demonstrated to distinguish accurately (and with statistical confidence) between potentially invasive and noninvasive species of nonnative fishes, with the statistically appropriate threshold score for high-risk species scores being ≥19. Within the group of species classed as high risk using this new threshold, a "higher risk" category could be visually identified, at present consisting of two species (topmouth gudgeon Pseudorasbora parva and gibel carp Carassius gibelio ). FISK represents a useful and viable tool to aid decision- and policymakers in assessing and classifying freshwater fishes according to their potential invasiveness.     

Performance of coefficient of variation estimators in ranked set sampling

In this paper, we propose and evaluate the performance of different parametric and nonparametric estimators for the population coefficient of variation considering Ranked Set Sampling (RSS) under normal distribution. The performance of the proposed estimators was assessed based on the bias and relative efficiency provided by a Monte Carlo simulation study. An application in anthropometric measurements data from a human population is also presented. The results showed that the proposed estimators via RSS present an expressively lower mean squared error when compared to the usual estimator, obtained via Simple Random Sampling. Also, it was verified the superiority of the maximum likelihood estimator, given the necessary assumptions of normality and perfect ranking are met.     

Social and Emotional Functioning of Older Asian American Adolescents

This study identified a constellation of psychosocial problems reported by older Asian American adolescents that was different from their Caucasian peers. When compared to 386 Caucasian American adolescents from the same community, Asian American students performed better academically and reported fewer delinquent behaviors. However, these Asian American youth reported higher levels of depressive symptomatology, withdrawn behavior, and social problems. They also perceived themselves more poorly and were more dissatisfied with their social support. These differences highlight the unique mental health needs of older Asian American youth. Practice recommendations are made that consider traditional Asian values and the role that family members can play in the development of effective treatment plans.     

Contingency Planning and Early Crisis Management: Italy and the COVID-19 Pandemic

Public Organization Review - This study examines the level of preparedness exhibited through strategy, planning and organization to deal with the COVID-19 pandemic in Italy. A comparative analysis...     

Percentiles of sums of heavy-tailed random variables: beyond the single-loss approximation

A perturbative approach is used to derive approximations of arbitrary order to estimate high percentiles of sums of positive independent random variables that exhibit heavy tails. Closed-form expressions for the successive approximations are obtained both when the number of terms in the sum is deterministic and when it is random. The zeroth order approximation is the percentile of the maximum term in the sum. Higher orders in the perturbative series involve the right-truncated moments of the individual random variables that appear in the sum. These censored moments are always finite. As a result, and in contrast to previous approximations proposed in the literature, the perturbative series has the same form regardless of whether these random variables have a finite mean or not. For high percentiles, and specially for heavier tails, the quality of the estimate improves as more terms are included in the series, up to a certain order. Beyond that order the convergence of the series deteriorates. Nevertheless, the approximations obtained by truncating the perturbative series at intermediate orders are remarkably accurate for a variety of distributions in a wide range of parameters.     

Interest-Rate Arbitrage in Currency Baskets: Forecasting Weights and Measuring Risk

This article addresses the problem of the bias of income and expenditure elasticities estimated on pseudopanel data caused by measurement error and unobserved heterogeneity. We gauge these biases empirically by comparing cross-sectional, pseudo-panel, and true panel data from both Polish and U.S. expenditure surveys. Our results suggest that unobserved heterogeneity imparts a downward bias to cross-section estimates of income elasticities of at-home food expenditures and an upward bias to estimates of income elasticities of away-from-home food expenditures. “Within” and first-difference estimators suffer less bias, but only if the effects of measurement error are accounted for with instrumental variables.